Systems and methods for post-quantum cryptography optimization

Abstract

Systems, apparatuses, methods, and computer program products are disclosed for quantum computing (QC) detection. An example method includes generating QC detection data. The example method further includes generating a pair of asymmetric cryptographic keys comprising a public cryptographic key and a private cryptographic key, generating encrypted QC detection data based on the pair of asymmetric cryptographic keys, and destroying the private cryptographic key. The example method further includes monitoring a set of data environments for electronic information related to the encrypted QC detection data. Subsequently, the example method may include generating a QC detection alert control signal in response to detection of the electronic information related to the encrypted QC detection data.

Description

TECHNOLOGICAL FIELD[0001]Example embodiments of the present disclosure relate generally to cryptography and, more particularly, to systems and methods for providing post-quantum cryptography (PQC).BACKGROUND[0002]Although still in its infancy, quantum computing and its boundless potential applications are of rapidly increasing interest to a broad array of industrial sectors, including simulation, artificial intelligence, healthcare, and financial services. Unlike classical computers, which process information in bits that can only represent one of two binary information states at a time, quantum computers process information in quantum bits (qubits) that can represent a coherent superposition of both binary information states at the same time. Further, two or more qubits may be entangled so that their physical properties are correlated even when separated by large distances, and quantum computers may simultaneously perform a vast number of operations on these entangled qubits. This ...

AI Technical Summary

Benefits of technology

[0005]Computing systems, computing apparatuses, computer-implemented methods, and computer program products are disclosed herein for quantum computing (QC) detection that, in some instances, provides for improved post-quantum cryptography (PQC) for migrating classical information systems to quantum-resistant information systems using one or more of the PQC cryptographic techniques described herein. In some embodiments, the QC detection system provided herein solves the above problems by generating QC detection data (e.g., fictitious data), encrypting the QC detection data based on a cryptographic technique, and monitoring a set of data environments (e.g., internal networks, social media websites, the dark web) for electronic information related to the encrypted QC detection data. In some embodiments, the QC detection system provided herein further solves the above problems by detecting the electronic information related to the encrypted QC detection data (including, but not limited to, electronic information related to digitally-signed QC detection data or unencrypted QC detection data) and, in response, generating a QC detection alert control signal indicating that the cryptographic technique has been compromised by a quantum computer. By doing so, data owners and hosting services are able to avoid the traditional problems surrounding migrating classical information systems to quantum-resistant information systems. For instance, through performance of the above operations, data owners and hosting services can use the QC detection system described herein to detect realized QC threats and their capabilities and, in response, identify PQC cryptographic techniques for reducing the attack surface of their cryptographic operations, including, but not limited to, digital signatures and key transport mechanisms.

Problems solved by technology

However, this heightened interest and investment has yet to produce an enduring and functional quantum computer outside of a laboratory environment.

Nonetheless, there is widespread agreement among experts that quantum computers will disrupt current security protocols that protect global financial markets and governmental institutions.

However, the sheer volume of this data and complexity of these systems presents myriad challenges to any such migration plan.

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